(Multiple Selection) Which of the following describe reasons for which principal component analysis is inadequate for distinguishing categories based on continuous parameters? Question 2 options: PCA does not consider the categorical value as a part of its analysis The direction of greatest variance may not maximally separate the classes PCA cannot be applied since it is not applicable to categorical variables PCA does not consider the spread of the data within each category